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  • JOB
  • Slovenia

YOUNG RESEARCHER IN THE FIELD OF EARLY DETECTION OF THE HEALTH STATUS OF PLANTS USING REMOTE SENSING

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18 Mar 2026

Job Information

Organisation/Company
Agriculture institute of Slovenia
Department
Research
Research Field
Mathematics » Mathematical analysis
Physics » Applied physics
Physics » Optics
Mathematics » Statistics
Geosciences » Other
Technology » Remote sensing
Engineering » Agricultural engineering
Computer science » Programming
Computer science » Informatics
Computer science » 3 D modelling
Computer science » Modelling tools
Technology » Biotechnology
Researcher Profile
First Stage Researcher (R1)
Positions
PhD Positions
Application Deadline
Country
Slovenia
Type of Contract
Temporary
Job Status
Full-time
Hours Per Week
40
Offer Starting Date
Is the job funded through the EU Research Framework Programme?
Not funded by a EU programme
Is the Job related to staff position within a Research Infrastructure?
No

Offer Description

The Agricultural Institute of Slovenia, within the Agrobiodiversity Research Group, is hiring a Junior Researcher and invites all interested candidates to apply.

Conducting research in the field of early detection of the health status of plants using remote sensing under the mentorship of Dr. Uroš Žibrat.

The young researcher will participate in the development of methods for the early detection of biotic and abiotic plant stress using remote sensing data acquired with unmanned aerial vehicles and multi-sensor systems.

The tasks will include:

  • planning and conducting field and aerial data acquisition using LiDAR, RGB, multispectral, and hyperspectral sensor systems mounted on unmanned aerial vehicles,
  • processing and analyzing LiDAR point clouds and generating 3D representations of plants and habitats,
  • developing procedures for the fusion of LiDAR and multi-/hyperspectral data and preparing aligned multimodal datasets,
  • developing indicators and features for the pre-symptomatic detection of changes in the physiological status of plants,
  • developing, training, validating, and comparing predictive machine learning and deep learning models,
  • applying explainable artificial intelligence approaches to interpret model results and assess the contribution of individual input variables,
  • performing statistical analysis of results and evaluating model performance under different acquisition conditions and across different types of plant communities,
  • programming and automating analytical workflows in Python and R, and integrating these workflows with commercial software tools for spatial data processing.

Where to apply

E-mail
kadri@kis.si

Requirements

Research Field
Agricultural sciences » Phytotechny
Education Level
Master Degree or equivalent
Research Field
Technology » Remote sensing
Education Level
Master Degree or equivalent
Research Field
Computer science » 3 D modelling
Education Level
Master Degree or equivalent
Research Field
Computer science » Informatics
Education Level
Master Degree or equivalent
Research Field
Mathematics » Statistics
Education Level
Master Degree or equivalent
Research Field
Physics » Optics
Education Level
Master Degree or equivalent
Research Field
Physics » Applied physics
Education Level
Master Degree or equivalent
Research Field
Technology » Environmental technology
Education Level
Master Degree or equivalent
Research Field
Geosciences » Other
Education Level
Master Degree or equivalent
Skills/Qualifications
  • basic or advanced knowledge in remote sensing, photogrammetry, GIS, LiDAR, or computer vision,
  • good knowledge of Python, and preferably also R,
  • experience in processing spatial data, images, or point clouds,
  • an interest in applying artificial intelligence methods in natural science research,
  • an interest in interdisciplinary research work,
  • passion for research and analytical thinking,
  • organizational skills and solution-oriented approach,
  • precision and responsibility,
  • high motivation and proactivity,
  • teamwork and collaboration orientation.
Languages
ENGLISH
Level
Excellent
Research Field
Technology » Remote sensingPhysics » Applied physicsEngineering » Geological engineeringMathematics » StatisticsPhysics » Optics

Additional Information

Benefits
  • Employment for the duration of the doctoral studies from October 1, 2026 to September 30, 2030, with the possibility of long-term cooperation;
  • Opportunities to regularly attend international scientific meetings;
  • New knowledge and experience in the interdisciplinary field;
  • Use of various remote sending platforms;
  • Creative and stimulating work environment with access to modern equipment;
  • Work in an international and multicultural environment;
  • Opportunities for personal and career development;
  • Free parking, use of company bikes and use of electric car charging station.
Eligibility criteria
  • Completed Master degree or equivalent education at University level;
  • Field of education: mathematics, physics, computer science and informatics, geoinformatics, geodesy and geoinformatics, or other natural sciences disciplines, provided that the candidate has strong experience with geospatial data, programming, or data analysis;
  • The candidate has not yet completed a Ph. D. or obtained the scientific title of Doctor of Science and has not been employed with the status of young researcher in Slovenia;
  • No more than four years will have passed since the completion of the study by the time of entry into the funding scheme (October 1, 2026);
  • Motivation for interdisciplinary research work;
  • Basic knowledge of multivariate statistics and machine learning;
  • Good written and spoken English skills;
  • Mandatory (for more information please contact kadri@kis.si): Fulfillment of the conditions set by the General Legal Act on Stable Funding of Scientific Research Activities and the Rules on the Selection and Financing of Young Researchers at the Agricultural Institute of Slovenia.
Additional comments

Candidates are invited to send their applications with a CV and:

  • Proof of the average grade of all exams and exercises in undergraduate studies, i.e. Bachelor and Masters degrees;
  • Certificate of completed studies and the grade of the master's thesis;
  • Information on whether you are already enrolled in doctoral studies – attach a certificate of enrollment to the email address: kadri@kis.si
Website for additional job details

Work Location(s)

Number of offers available
1
Company/Institute
Agriculture Institute of Slovenia
Country
Slovenia
City
Ljubljana
Postal Code
1000
Street
Hacquetova ulica 17
Geofield

Contact

City
Ljubljana
Website
Street
Hacquetova ulica 17
Postal Code
1000
E-Mail
kadri@kis.si

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